Top Remote Jobs in Indianapolis, IN

Lead full‑stack technical design and delivery: architect and build front-end and back-end systems (UI/UX, application logic, data layer), design relational schemas, implement with Angular/TypeScript, Java, Node.js and AWS services, leverage AI-assisted development responsibly, ensure security/quality (OWASP), mentor peers, and own handoff and continuous improvement.

The Protocol Engineer will develop and optimize core components of the Injective blockchain, focusing on decentralized order book, trade execution, and cross-functional collaboration.

Crescendo Health seeks a Product Engineering Lead to manage fullstack product development, focusing on patient outcomes and innovative solutions.

The Senior Product Manager will define product strategy, prioritize roadmaps, and collaborate with engineering to deliver CRM solutions for life sciences customers.

Join Rialtic's talent community by submitting your resume if no suitable positions are available. They promote diversity and inclusivity.

Drive sales and customer acquisition for Musixmatch products, meet individual and team revenue targets, engage and pitch to prospective clients, manage pipeline, collaborate with Product and Partnerships, and share know-how to reach business goals.

This job invites candidates to apply for various roles without specific details. Responsibilities may include supporting various operational tasks.

Paytient is seeking passionate technical individuals for various roles in software engineering, data, product management, and IT as they grow their team.

Leads the design, architecture, configuration, and deployment of SAP S/4HANA FICO solutions for clients. Facilitates business process reviews, gathers requirements, manages customized reporting, advises on industry best practices, and leads consultants and client teams. Supports proposals, engagement scoping, technical issues, training, and project execution. Requires extensive SAP FICO expertise, finance process knowledge, leadership experience, strong communication skills, and significant client travel.

Design and deploy optimization and machine learning models for allocating scarce parts and resources across competing programs. Responsibilities include formulating MILP and constraint optimization models, forecasting demand and supply risk, building data pipelines, validating outputs, communicating tradeoffs to stakeholders, mentoring junior data scientists, and partnering with software engineers to productionize scalable services.